基于民生满意度的资源型城市转型绩效测度及群体差异研究—以湖北省黄石市为例
收稿日期: 2016-07-20
修回日期: 2017-01-25
网络出版日期: 2017-08-20
基金资助
国家自然科学基金项目(71273246); 国家社会科学基金项目(17BJY080); 湖北省软科学项目(2016ADC080,2016ADC081); 湖北省教育厅人文社会科学研究一般项目(17Q079)
Research on Performance Measure and Group Difference during Transformation of Resource-based Cities Based on Livelihood Satisfaction—A Case Study of Huangshi City in Hubei Province
Received date: 2016-07-20
Revised date: 2017-01-25
Online published: 2017-08-20
Supported by
National Natural Science Foundation of China, No. 71273246National Social Science Foundation of China, No. 17BJY080Hubei Soft Science Foundation, No. 2016ADC080 and 2016ADC081General Foundation for Humanities and Social Sciences of Education Department in Hubei, No. 17Q079.
民生满意度评价是资源型城市转型绩效测度的终端体现,对于改善转型绩效、促进资源型城市可持续发展具有重要的现实意义。论文以民生满意度为视角,从居民生计、公共服务、民生环境、文化消费4个方面构建资源型城市转型绩效测度指标体系,采用专家群决策及AHP方法确定指标权重,运用顾客满意度评价法对黄石这一典型资源型城市转型绩效进行测度并进一步揭示被调查群体的差异特征。研究结果表明:1)基于民生满意度的黄石市转型绩效测度值为4.17,总体上处于“优秀”等级水平,但在某些局部指标上仍略显不足;2)黄石市转型绩效存在由被调查者特征而引起的群体和区域差异:不同性别、年龄、文化程度、职业类别、家庭年经济收入群体对转型民生满意度评价不同,并呈现一定规律;从区域差异来看,铁山区、大冶市等传统老矿区依托国家资源型城市转型政策支持,转型民生满意度绩效值相对较高,西塞山区、下陆区、黄石港区等中心城区历史包袱沉重、转型升级民生满意度暂时落后,以阳新为代表的农业县市,民众对于转型的认知和感受相对滞后,转型升级民生满意度居末;3)黄石市转型的民生满意度赋值与其物质产出绩效具有一致性。
郝祖涛, 冯兵, 谢雄标, 冯忠垒, 王莹 . 基于民生满意度的资源型城市转型绩效测度及群体差异研究—以湖北省黄石市为例[J]. 自然资源学报, 2017 , 32(8) : 1298 -1310 . DOI: 10.11849/zrzyxb.20160783
People’s livelihood satisfaction is the ultimate measure of the performance during transformation of resource-based cities. Evaluating people’s livelihood satisfaction is significant to measure the performance and sustainable development of resource-based cities. From the perspective of livelihood satisfaction, this paper establishes an indicators system to measure the performance during the transformation of resource-based cities, which was built on four indices of residential livelihood, public services, livelihood environment and cultural consumption. Expert group decision making and AHP method are used to determine the weights of indices, then customer satisfaction index method is used to measure the transformation performance of resource-based cities. The results show: 1) The total measure of transformation performance in Huangshi city based on people’s livelihood satisfaction is 4.17, at the level of “excellent”, but there are still some indicators need to be improved. 2) There are group differences and regional differences of livelihood satisfaction in Huangshi resulted from characteristics of respondents. There are diversity of people’s livelihood satisfaction with transformation caused by differences in gender, age, educational level, occupational category, annual household income of respondents. From the view of regional differences, in traditional old mining areas, such as Tieshan and Daye, the livelihood satisfaction with transformation appears relatively high due to the support of national policy for the transformation of resource-based cities. In downtown area, such as Xisaishan, Xialu and Huangshi Port, the livelihood satisfaction is low. In agricultural areas such as Yangxin, people have the lowest satisfaction with the transformation. 3) The evaluation based on livelihood satisfaction is consistent with the material output performance in Huangshi.
[1] 余建辉, 张文忠, 王岱, 等. 资源枯竭城市转型成效测度研究 [J]. 资源科学, 2013, 35(9): 1812-1820. [YU J H, ZHANG W Z, WANG D, et al. The effect of resource-exhausted city transformation. Resources Science, 2013, 35(9): 1812-1820. ]
[2] 刘辉, 张志赟, 税伟, 等. 资源枯竭型城市增长边界划定研究--以淮北市为例 [J]. 自然资源学报, 2017, 32(3): 391-405. [LIU H, ZHANG Z Y, SHUI W, et al. Urban growth boundary delimitation of resource-exhausted cities: A case study of Huaibei City. Journal of Natural Resources, , 2017, 32(3): 391-405. ]
[3] 毛熙彦, 刘颖, 贺灿飞. 中国资源性产业空间演变特征 [J]. 自然资源学报, 2015, 30(8): 1332-1342. [MAO X Y, LIU Y, HE C F. Spatial pattern dynamics of resource-based industry in China. Journal of Natural Resources, 2015, 30(8): 1332-1342. ]
[4] 车晓翠, 张平宇. 基于多种量化方法的资源型城市经济转型绩效评价--以大庆市为例 [J]. 工业技术经济, 2011(2): 129-136. [CHE X C, ZHANG P Y. Achievement evaluation of economic transformation of resource-based cities based on mutil-quantitative methods. Journal of Industrial Technological Economics, 2011(2): 129-136. ]
[5] 高峰, 范宪伟, 王学定, 等. 资源型城市经济转型绩效评价分析 [J]. 商业研究, 2012(8): 70-75. [GAO F, FAN X W, WANG X D, et al. Achievement evaluation of economic transformation of resource-based cities. Commercial Research, 2012(8): 70-75. ]
[6] 车晓翠, 张平宇. 资源型城市经济转型绩效及其评价指标体系 [J]. 学术交流, 2011(1): 94-96. [CHE X C, ZHANG P Y. Performance of resource-based cities' economic transformation and its evaluation indicators system. Academic Exchange, 2011(1): 94-96. ]
[7] 董锋, 龙如银, 周德群, 等. 环境规制下的资源型城市转型绩效及其影响因素分析 [J]. 运筹与管理, 2013, 22(1): 171-178. [DONG F, LONG R Y, ZHOU D Q, et al. Research on resource-based cities transformation performance under environmental regulation and its influencing factors. Operations Research and Management Science, 2013, 22(1): 171-178. ]
[8] 程嘉怡. 资源枯竭型城市转型政策的实证研究--基于面板数据的分析 [J]. 东北财经大学学报, 2009(3): 56-59. [CHENG J Y. An empirical research on transformation policy of resource-exhausted cities-Based on panel data analysis. Journal of Dongbei University of Finance and Economics, 2009(3): 56-59. ]
[9] 朱明峰, 洪天求, 叶强. 基于神经网络的资源型城市可持续发展指标体系 [J]. 中国科学技术大学学报, 2005, 35(3): 423-428. [ZHU M F, HONG T Q, YE Q. Sustainable development indicator forecasting for resource-based cities based on neural network. Journal of University of Science and Technology of China, 2005, 35(3): 423-428. ]
[10] 宋宇辰, 何玮, 张璞, 等. 基于BP神经网络的资源型城市可持续发展指标预测 [J]. 西安财经学院学报, 2014, 27(6): 79-84. [SONG Y C, HE W, ZHANG P, et al. Resources city sustainable development index prediction based on the BP neural network. Journal of Xi'an University of Finance and Economics, 2014, 27(6): 79-84. ]
[11] 汪刘凯, 邵显武, 何叶荣, 等. 基于SEM的资源型城市转型评价因素模型研究 [J]. 淮南师范学院学报, 2015, 17(6): 32-35. [WANG L K, SHAO X W, HE Y R, et al. The study on evaluation factors about transformation of resource-dependent cities based on SEM model. Journal of Huainan Normal University, 2015, 17(6): 32-35. ]
[12] HERENDEEN R A, WILDERMUTH T. Resource-based sustainability indicators: Chase County, Kansas, as example [J]. Ecological Economics, 2002, 42(1/2): 243-257.
[13] TANGUAY G A, RAJAONSON J, LEFEBVRE J-F, et al. Measuring the sustainability of cities: An analysis of the use of local indicators [J]. Ecological Indicators, 2010, 10(2): 407-418.
[14] FOLAN P, BROWNE J. A review of performance measurement: Towards performance management [J]. Computers in Industry, 2005, 56(7): 663-680.
[15] GUERIN T F. A Survey of sustainable development initiatives in the Australian mining and minerals industry [J]. Minerals and Energy-Raw Materials Report, 2006, 20(3/4): 11-44.
[16] HILSON G M. Environmental management and sustainable development [J]. Journal of Cleaner Production, 2006, 14 (3/4): 225-226.
[17] 余建辉, 张文忠, 王岱. 中国资源枯竭城市的转型效果评价 [J]. 自然资源学报, 2011, 26(1): 11-21. [YU J H, ZHANG W Z, WANG D. Evaluation of the China's resource-exhausted cities' transformation effect. Journal of Natural Resources, 2011, 26(1): 11-21. ]
[18] 罗文斌, 吴次芳, 倪尧, 等. 基于农户满意度的土地整理项目绩效评价及区域差异研究 [J]. 中国人口·资源与环境, 2013, 23(8): 68-74. [LUO W B, WU C F, NI Y, et al. Research on performance evaluation of land consolation projects and its difference features based on satisfaction of peasant households survey in east, central and western regions in China. China Population, Resources and Environment, 2013, 23(8): 68-74. ]
[19] 梁建春, 向红. 关于我国民生评价指标体系的选择 [J]. 前沿, 2011(23): 12-14. [LIANG J C, XIANG H. A choice on evaluation indicators system for people's livelihood in China. Forward Position, 2011(23): 12-14. ]
[20] 孙怡. 四川省民生满意度指数实证研究 [D]. 成都: 西南财经大学, 2014. [SUN Y. Empirical Study of Sichuan Province Livelihood Satisfaction Index. Chengdu: Southwestern University of Finance and Economics, 2014. ]
[21] 段旭辉. 基于CAS理论的大学生自主创业支持体系研究 [D]. 武汉: 中国地质大学(武汉), 2015. [DUAN X H. Research on the Support System of Entrepreneurship for Undergraduates Based on the CAS Theory. Wuhan: China University of Geosciences (Wuhan), 2015. ]
[22] 曾建权. 层次分析法在确定企业家评价指标权重中的应用 [J]. 南京理工大学学报(自然科学版), 2004, 28(1): 99-104. [ZENG J Q. Application of analytic hierarchy process to determining entrepreneur evaluation index weight. Journal of Nanjing University of Science and Technology (Natural Science), 2004, 28(1): 99-104. ]
[23] 傅天好, 周光兵. 鄂东正崛起“生态新城”--黄石市推进城市转型发展解读 [N]. 黄石日报, 2015-12-10(06). [FU T H, ZHOU G B. A “ecological new city” is rising in the east of Hubei Provinc-A interpretation of Huangshi city to promote the development of city transformation. Huangshi Daily, 2015-12-10(06). ]
[24] 黄石市发改委. 黄石市2015年度推进资源型城市转型绩效评估报告 [R]. 黄石: 黄石市发展和改革委员会, 2016: 35-45. [Huangshi Development and Reform Commission. The performance evaluation report of transformation of Huangshi city in 2015. Huangshi: Huangshi Development and Reform Commission, 2016: 35-45. ]
[25] 郝祖涛, 严良, 谢雄标, 等. 集群内资源型企业绿色行为决策关键影响因素的识别研究 [J]. 中国人口·资源与环境, 2014, 24(10): 170-176. [HAO Z T, YAN L, XIE X B, et al. Identification and analysis on critical influential factors of green behavior decision-making for enterprises in resource-based industry cluster. China Population, Resources and Environment, 2014, 24(10): 170-176. ]
/
〈 |
|
〉 |